Whether Communication can help reduce asset market mispricing or increase mispricing is still an open question. Previous theoretical and empirical study provide mixed evidence on this topic. By using a typical SSW type experimental asset market, we design 2 experimental treatments (Chat vs No_Chat) to investigate the effect of online communication on experimental asset bubbles. Our experimental result shows that the online communication among traders cannot reduce the asset bubbles and even enlarge the level. However, the statistical test show that the difference of bubbles level between Chat treatment and No_Chat treatment is not significant. (c) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the International Conference on Identification, Information and Knowledge in the internet of Things, 2020.
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Cornell Univ, Johnson Grad Sch Management, Ithaca, NY 14853 USA
Kamakura Corp, Honolulu, HI 96815 USACornell Univ, Johnson Grad Sch Management, Ithaca, NY 14853 USA
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Goldman Sachs, New York, NYGoldman Sachs, New York, NY
Bilina Falafala R.
Jarrow R.A.
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Samuel Curtis Johnson Graduate School of Management, Cornell University, Ithaca, 14853, NY
Kamakura Corporation, Honolulu, 96815, HIGoldman Sachs, New York, NY
Jarrow R.A.
Protter P.
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Statistics Department, Columbia University, New York, 10027, NYGoldman Sachs, New York, NY
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US Energy Informat Adm, 1000 Independence Ave,SW, Washington, DC 20585 USAUS Energy Informat Adm, 1000 Independence Ave,SW, Washington, DC 20585 USA
Arora, Vipin
Shi, Shuping
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Macquarie Univ, Dept Econ, Sydney, NSW 2109, Australia
Ctr Appl Macroecon Anal, Canberra, ACT, AustraliaUS Energy Informat Adm, 1000 Independence Ave,SW, Washington, DC 20585 USA